The Architecture of Convnets and Data Processing. Advantages of Convolutional Neural Networks

Artificial neural networks, particularly convolutional neural networks (ConvNets), have revolutionized machine learning over the past two decades, surpassing traditional methods and even human capabilities in some tasks. Initially developed in 1989 by LeCun et al., ConvNets are specifically designed for image recognition and classification, showcasing a unique architecture that enhances image processing efficiency. This essay explores the significant advancements in these technologies and their impact on various applications within the field.